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The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function

D. Häufle, B. Schmortte, H. Geyer, R. Müller, and S. Schmitt. Frontiers in computational neuroscience, (2018)
DOI: 10.3389/fncom.2018.00080

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Dr. rer. nat. Daniel Häufle University of Stuttgart

B. Schlecht

F. Dörr

F. Laufer

F. Rusitschka

Other publications of authors with the same name

Test trilogy applied to muscle models: evaluating a new design concept for a functional artificial muscleD. Häufle, M. Kachel, and S. Schmitt. Proceedings of SimTech 2011: International Conference on Simulation Technology, Stuttgart, (2011)Theoretical Hill-type Muscle and Stability : Numerical Model and ApplicationS. Schmitt, M. Günther, T. Rupp, A. Bayer, and D. Häufle. Computational and Mathematical Methods in Medicine, (2013)The influence of biophysical muscle properties on simulating fast human arm movementsA. Bayer, S. Schmitt, M. Günther, and D. Häufle. Computer methods in biomechanics and biomedical engineering, 20 (8): 803-821 (2017)Anticipatory compensation of step-down perturbation is influenced by muscle force decreaseL. Schreff, D. Häufle, R. Abel, and R. Müller. Gait & posture, 100 (Supplement 1): 83-84 (2023)Evaluating anticipatory control strategies for their capability to cope with step-down perturbations in computer simulations of human walkingL. Schreff, D. Häufle, J. Vielemeyer, and R. Müller. Scientific reports, 12 (1): 10075 (2022)Can Robots Help to Understand Human Locomotion?A. Seyfarth, S. Grimmer, D. Häufle, and K. Kalveram. Automatisierungstechnik, 60 (11): 653-661 (2012)Experimental results for Bioinspired Preactivation Reflex Increases Robustness of Walking on Rough TerrainE. Bunz, D. Häufle, C. Remy, and S. Schmitt. Software, (2023)Related to: Bunz E.K., Haeufle D.F.B., Remy C.D., Schmitt S. Bioinspired Preactivation ReflexIncreases Robustness of Walking on Rough Terrain. Scientific Reports 2023. doi: 10.1038/s41598-023-39364-3.Correction to: A geometry- and muscle-based control architecture for synthesising biological movementJ. Walter, M. Günther, D. Häufle, and S. Schmitt. Biological cybernetics, 115 (2): 193 (2021)Correction to: https://doi.org/10.1007/s00422-020-00856-4.External control strategies for self-propelled particles: Optimizing navigational efficiency in the presence of limited resourcesD. Häufle, T. Bäuerle, J. Steiner, L. Bremicker, S. Schmitt, and C. Bechinger. Physical review. E, Statistical, nonlinear and soft matter physics, 94 (1): 012617 (2016)Simulating the response of a neuro-musculoskeletal model to assistive forces : implications for the design of wearables compensating for motor control deficitsK. Stollenmaier, I. Rist, F. Izzi, and D. Häufle. 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), page 779-784. Piscataway, NJ, IEEE, (2020)

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Disambiguation of "Häufle, Daniel F. B."